In this rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? Here, two highly qualified scientists edit a volume that takes the angle of computational hydrology and envision one of the scienceas future directions a namely, the quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences.For example, Khan and See (2006) produced M5 model trees for the River Ouse for 6 and 24 hour ahead ... The number of rules produced will be a function of how complex the modeling problem is and may therefore not always provideanbsp;...
|Title||:||Quantitative Information Fusion for Hydrological Sciences|
|Author||:||Xing Cai, T.-C. Jim Yeh|
|Publisher||:||Springer - 2008-01-12|